Nanjing University is located in Nanjing, capital of Jiangsu Province, a community of over 8 million people. It is recognized as one of the research and education centers in China. As one of the members of the iSchools organization, the School of Information Management at Nanjing University is one of the earliest education institutions in China, and is ranked among the top 2 of such schools or departments of Library and Information Science in 2012. The School consists of 55 faculty and staff members, over 400 undergraduate students over 300 master students and 60 PhD students. The School offers multi-level programs from undergraduate to PhD. The 4 undergraduate programs are: Information Management & Information Systems Library Science Archive Science Editing and Publishing Science The 5 master & doctoral programs are: Information Science Library Science Archive Science Editing and Publishing Information Resources Management In addition, it offers 2 professional master’s programs from 2010,Library & Information Science, Publishing Science, which focus on training application-oriented talents. The faculties’ researches focus on numerous fields of LIS, such as: Knowledge organization Internet user behavior Information service in Web 2.0 Information security Digital library management Digital library development Science and social science evaluation Library user and reading behavior Archival resource management Digital publishing, etc. In the past five years, the School has undertaken over 80 projects, including 33 projects funded by National Natural Science Foundation or National Social Science Foundation of China; 34 projects funded by the Ministry of Education or provincial government in China. Welcome to School of Information Management at Nanjing University for Visiting and Collaboration!
Data and Information Management (DIM) aims to promote cross-disciplinary data-driven information management research, especially targeting large-scale datasets in scientific/academic, government and business domains. The journal focuses on innovative theories and technologies related to data and information processing; creative applications of theories and techniques including patterns, models, and processes in various datasets; and compatible management processes and social systems required for the realization of the substantial value that data and information offers to organizations. DIM encourages submissions which are able to advance the knowledge and practice on data-driven information management, including original research papers, literature reviews, case studies，surveys, positioning papers and editorials. As a peer-reviewed academic journal, DIM presents 20 research papers in each volume, and provides free access to its full-text articles as soon as they are available online. The open access fees (article-processing charges) are fully paid by Wuhan University, no charges are required from authors.
Data Intelligence, hosted by the National Science Library, Chinese Academy of Sciences, is a peer-reviewed metadata centric journal that aims at data creators, data curators, data stewards, data policy makers, domain scientists and others interested in sharing data. The intent of the journal is to include, but not be limited to, paper discussing methodologies and/or data resources, but also to provide means to help scientists share and reuse each other’s data, metadata and related knowledge bases. The journal will publish not only traditional articles, but also “data articles” with the contents in the form of knowledge graphs, ontologies, linked datasets, and metadata resources irrespective of domain and format, corpus, and other resources. Data Intelligence thus aims at introducing developing and emerging data-enabled technologies that will allow scientists to deeply understand and extend the potential of data.